Especialista de Engenharia de Dados I

Design, build, and maintain end-to-end ML pipelines including training, validation, deployment, and retraining with automation and reproducibility. Implement model observability including performance monitoring, data drift, and alerting. Collaborate with Data Science to make experiments production-ready, ensuring governance and compliance with internal policies and regulations.

Advanced Python and SQL skills with experience in distributed processing (Spark, PySpark). Proficiency in cloud services (AWS, GCP, or Azure) focused on data and ML. Solid experience in software engineering or machine learning engineering with a proven track record of production models.